GLOSSARY -> Account Based Marketing - ABM

Lookalike Modeling

Using data analysis to identify new prospects who share characteristics with your best existing customers, enabling more effective targeting and prospecting.
Lookalike Modeling

Lookalike modeling analyzes your best customers to identify their common characteristics, then finds new prospects who match that profile. If your top customers are mid-market SaaS companies in healthcare with 200-500 employees using Salesforce, lookalike modeling finds more companies matching those attributes.

How It Works

Machine learning analyzes hundreds of attributes across your customer base—industry, size, technology usage, growth rate, funding, online behavior—to determine what makes customers successful. It then searches databases to find prospects with similar profiles.

Use Cases

  • Expanding into new markets with proven ICP fit
  • Building target account lists that mirror successful customers
  • Refining ad targeting on platforms like LinkedIn and Facebook
  • Identifying upsell opportunities among existing customers

Lookalike modeling is more sophisticated than basic demographic filtering—it finds non-obvious patterns that correlate with customer success.

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